Making data available on demand for AI and ML workloads, Weka lands $135M

Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. As global enterprises continue to become bullish on data-driven applications, the companies providing the backend for these apps are seeing a massive surge in demand and investor support. Case in point: California-based Weka, which has just nabbed $135 million in an oversubscribed series D round, doubling its valuation to $750 million. Founded in 2013, Weka provides a software-based distributed file system, WekaFS, to make data available on demand for artificial intelligence (AI), machine learning (ML) and other compute-intensive workloads. The NVMe-based, I/O-intensive, low-latency solution -- that can also extend to object storage -- accelerates these applications, enabling data scientists, researchers and engineers to get to answers faster.